Case retrieval nets for heuristic lexicalization in natural language generation

  • Authors:
  • Raquel Hervás;Pablo Gervás

  • Affiliations:
  • Departamento de Sistemas Informáticos y Programación, Universidad Complutense de Madrid, Spain;Departamento de Sistemas Informáticos y Programación, Universidad Complutense de Madrid, Spain

  • Venue:
  • EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
  • Year:
  • 2005

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Abstract

In this paper we discuss the use of Case Retrieval Nets, a particular memory model for implementing case-base reasoning solutions, for implementing a heuristic lexicalisation module within a natural language generation application. We describe a text generator for fairy tales implemented using a generic architecture, and we present examples of how the Case Retrieval Net solves the Lexicalization task.